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Weighted generalized estimating equations (WGEE) is an extension of generalized linear models to longitudinal clustered data by incorporating the correlation within-cluster when data is missing at random (MAR). The parameters in mean, scale correlation structures are estimated based on quasi-likelihood. Multiple model selection criterion are provided for selection of mean model and working correlation structure based on WGEE/GEE.
| Version: | 1.5 |
| Depends: | R (≥ 3.0.0) |
| Imports: | MASS, stats, geepack, bindata, PoisNor, CRTgeeDR |
| Published: | 2018-03-09 |
| Author: | Cong Xu, Zheng Li, Ming Wang |
| Maintainer: | Zheng Li <zheng.li at outlook.com> |
| License: | GPL-2 |
| NeedsCompilation: | no |
| In views: | MixedModels |
| CRAN checks: | wgeesel results |
| Reference manual: | wgeesel.pdf |
| Package source: | wgeesel_1.5.tar.gz |
| Windows binaries: | r-devel: wgeesel_1.5.zip, r-release: wgeesel_1.5.zip, r-oldrel: wgeesel_1.5.zip |
| macOS binaries: | r-release (arm64): wgeesel_1.5.tgz, r-oldrel (arm64): wgeesel_1.5.tgz, r-release (x86_64): wgeesel_1.5.tgz, r-oldrel (x86_64): wgeesel_1.5.tgz |
| Old sources: | wgeesel archive |
| Reverse imports: | ELCIC |
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